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ORCIDChen Gong 0002
Person information
- affiliation: Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- affiliation (PhD 2016): Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China
- affiliation (PhD 2016): University of Technology Sydney, Centre for Quantum Computation and Intelligent Systems, Australia
Other persons with the same name
- Chen Gong — disambiguation page
- Chen Gong 0001
![[0000-0002-7150-0024]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7150-0024")
— Chinese Academy of Sciences, School of Information Science and Technology, University of Science and Technology of China, Key Laboratory of Wireless-Optical Communications, Hefei, China (and 2 more) - Chen Gong 0003 — Beijing Institute of Technology, Institute of Application Specific Instruction-Set Processors, China
- Chen Gong 0004 — Soochow University, School of Computer Science and Technology, Suzhou, China
- Chen Gong 0005 — University of Virginia, Department of Computer Science, Charlottesville, VA, USA (and 2 more)
- Chen Gong 0006 — Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, Department of Automation, China
Other persons with a similar name
- Gong Chen — disambiguation page
- Gong-Han Chen
- Gong-Xing Chen
- Gong Chen 0001 — MileBot Robotics Co., Ltd, Shenzhen, China (and 1 more)
- Gong Chen 0002 — Chengdu University of Information Technology, College of Communication Engineering, Chengdu, China (and 1 more)
- Gong Chen 0003 — University of Science and Technology of China, School of Microelectronics, Hefei, China (and 1 more)
- Gong Chen 0004 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China (and 1 more)
- Gong Chen 0005 — Nanjing University of Posts and Telecommunications, College of Automation & College of Artificial Intelligence, Nanjing, China
- Gong Chen 0006 — Hong Kong Polytechnic University, Shenzhen Research Institute, Shenzhen, China (and 1 more)
- Gong Chen 0009 — Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA
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2020 – today
- 2025
[j98]Zhuo Huang, Muyang Li, Li Shen, Jun Yu, Chen Gong, Bo Han, Tongliang Liu:
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization. Int. J. Comput. Vis. 133(1): 456-474 (2025)- [j97]Wenshui Luo, Shuo Chen, Tongliang Liu, Bo Han, Gang Niu, Masashi Sugiyama, Dacheng Tao, Chen Gong:
Estimating Per-Class Statistics for Label Noise Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 305-322 (2025) - [j96]Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu:
Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation. Pattern Recognit. 158: 110962 (2025) - [j95]Shen Xu, Shengwei Zhong, Hui Li, Chen Gong:
Spectral-Spatial Attention-Guided Multi-Resolution Network for Pansharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 7559-7571 (2025) - [j94]Lei Zhou, Yuzhong Zhang, Jiadong Zhang, Xuejun Qian, Chen Gong, Kun Sun, Zhongxiang Ding, Xing Wang, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI. IEEE Trans. Medical Imaging 44(1): 244-258 (2025) - [c81]Xiaoqi An, Lin Zhao, Chen Gong, Jun Li, Jian Yang:
Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation. AAAI 2025: 1755-1763 - [c80]Yanfang Zhang, Yiliu Sun, Yibing Zhan, Dapeng Tao, Dacheng Tao, Chen Gong:
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning. COLING 2025: 5040-5057 - [i57]Linhao Luo, Zicheng Zhao, Gholamreza Haffari, Dinh Q. Phung, Chen Gong, Shirui Pan:
GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation. CoRR abs/2502.01113 (2025) - [i56]Jialiang Tang, Shuo Chen, Chen Gong, Jing Zhang, Dacheng Tao:
LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics. CoRR abs/2503.09656 (2025) - 2024
- [j93]Hengmin Zhang, Jian Yang, Jianjun Qian, Chen Gong, Xin Ning, Zhiyuan Zha, Bihan Wen:
Faster nonconvex low-rank matrix learning for image low-level and high-level vision: A unified framework. Inf. Fusion 108: 102347 (2024) - [j92]Haiyang Luo, Xueyi Qiao, Yongming Xu, Shengwei Zhong, Chen Gong:
Domain-Collaborative Contrastive Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j91]Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han:
Exploiting counter-examples for active learning with partial labels. Mach. Learn. 113(6): 3849-3868 (2024) - [j90]Xiaobo Xia, Pengqian Lu, Chen Gong, Bo Han, Jun Yu, Jun Yu, Tongliang Liu:
Regularly Truncated M-Estimators for Learning With Noisy Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3522-3536 (2024) - [j89]Runtong Zhang, Hongyuan Zhu, Hanwang Zhang, Chen Gong, Joey Tianyi Zhou, Fanman Meng:
Blessing few-shot segmentation via semi-supervised learning with noisy support images. Pattern Recognit. 154: 110503 (2024) - [j88]Tianhuan Huang, Xianye Ben, Chen Gong, Wenzheng Xu, Qiang Wu, Hongchao Zhou:
GaitDAN: Cross-View Gait Recognition via Adversarial Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8026-8040 (2024) - [j87]Cheng Zhang, Shengwei Zhong, Sheng Wan, Chen Gong:
Easy-to-Hard Domain Adaptation With Human Interaction for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j86]Jialiang Tang, Ning Jiang, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong:
Learning Student Network Under Universal Label Noise. IEEE Trans. Image Process. 33: 4363-4376 (2024) - [j85]Weiming Mai, Jiangchao Yao, Chen Gong, Ya Zhang, Yiu-Ming Cheung, Bo Han:
Server-Client Collaborative Distillation for Federated Reinforcement Learning. ACM Trans. Knowl. Discov. Data 18(1): 9:1-9:22 (2024) - [j84]Mingyu Li, Tao Zhou, Bo Han, Tongliang Liu, Xinkai Liang, Jiajia Zhao, Chen Gong:
Class-Wise Contrastive Prototype Learning for Semi-Supervised Classification Under Intersectional Class Mismatch. IEEE Trans. Multim. 26: 8145-8156 (2024) - [j83]Hengmin Zhang, Jiaoyan Zhao, Bob Zhang, Chen Gong, Jianjun Qian, Jian Yang:
Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3012-3026 (2024) - [j82]Sheng Wan, Yibing Zhan, Shuo Chen, Shirui Pan, Jian Yang, Dacheng Tao, Chen Gong:
Boosting Graph Contrastive Learning via Adaptive Sampling. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15971-15983 (2024) - [j81]Mingyu Li, Tao Zhou, Zhuo Huang, Jian Yang, Jie Yang, Chen Gong:
Dynamic Weighted Adversarial Learning for Semi-Supervised Classification under Intersectional Class Mismatch. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 115:1-115:24 (2024) - [c79]Xiaoqi An, Lin Zhao, Chen Gong, Nannan Wang, Di Wang, Jian Yang:
SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation. AAAI 2024: 691-699 - [c78]Yanfang Zhang, Chen Gong:
Anomaly Detection Representation Learning Framework Towards Mixed Time Series with Scalable Multivariate Fusion. ADMA (1) 2024: 256-268 - [c77]Guangyu Li, Jun Li, Hai Cao, Houjun Wang, Weili Guo, Chen Gong:
MFF-YOLO: Multi-scale Feature Fusion Network for Small Ship Detection in Night Scenes. ECAI 2024: 475-481 - [c76]Jialiang Tang, Shuo Chen, Gang Niu, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong, Masashi Sugiyama:
Direct Distillation Between Different Domains. ECCV (80) 2024: 154-172 - [c75]Chaoqun Liu, Xuanpeng Li, Chen Gong, Guangyu Li:
Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware. GLOBECOM 2024: 764-769 - [c74]Hang Zhou, Wentao Yu, Sheng Wan, Yongxin Tong, Tianlong Gu, Chen Gong:
Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization. ICDM 2024: 639-648 - [c73]Shuo Chen, Gang Niu, Chen Gong, Okan Koc, Jian Yang, Masashi Sugiyama:
Robust Similarity Learning with Difference Alignment Regularization. ICLR 2024 - [i55]Jialiang Tang, Shuo Chen, Gang Niu, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong, Masashi Sugiyama:
Direct Distillation between Different Domains. CoRR abs/2401.06826 (2024) - [i54]Yanfang Zhang, Yiliu Sun, Yibing Zhan, Dapeng Tao, Dacheng Tao, Chen Gong:
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning. CoRR abs/2402.03667 (2024) - [i53]Yang Wei, Shuo Chen, Shanshan Ye, Bo Han, Chen Gong:
Robust Learning under Hybrid Noise. CoRR abs/2407.04029 (2024) - [i52]Zicheng Zhao, Linhao Luo, Shirui Pan, Chengqi Zhang, Chen Gong:
Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion. CoRR abs/2408.01784 (2024) - [i51]Lei Zhou, Yuzhong Zhang, Jiadong Zhang, Xuejun Qian, Chen Gong, Kun Sun, Zhongxiang Ding, Xing Wang, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI. CoRR abs/2408.05803 (2024) - [i50]Wenshui Luo, Haoyu Liu, Yongliang Ding, Tao Zhou, Sheng Wan, Runze Wu, Minmin Lin, Cong Zhang, Changjie Fan, Chen Gong:
Rank Aggregation in Crowdsourcing for Listwise Annotations. CoRR abs/2410.07538 (2024) - [i49]Linhao Luo, Zicheng Zhao, Chen Gong, Gholamreza Haffari, Shirui Pan:
Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models. CoRR abs/2410.13080 (2024) - [i48]Wentao Yu, Shuo Chen, Yongxin Tong, Tianlong Gu, Chen Gong:
Modeling Inter-Intra Heterogeneity for Graph Federated Learning. CoRR abs/2412.11402 (2024) - [i47]Xiaoqi An, Lin Zhao, Chen Gong, Jun Li, Jian Yang:
Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation. CoRR abs/2412.13454 (2024) - [i46]Jialiang Tang, Shuo Chen, Chen Gong:
Hybrid Data-Free Knowledge Distillation. CoRR abs/2412.13525 (2024) - [i45]Kaiwen Huang, Tao Zhou, Huazhu Fu, Yizhe Zhang, Yi Zhou, Chen Gong, Dong Liang:
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation. CoRR abs/2412.13742 (2024) - [i44]Chaoqun Liu, Xuanpeng Li, Chen Gong, Guangyu Li:
Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware. CoRR abs/2412.14569 (2024) - 2023
- [j80]Mengke Huang, Gongyang Li, Zhi Liu, Yong Wu, Chen Gong, Linchao Zhu, Yi Yang:
Exploring viewport features for semi-supervised saliency prediction in omnidirectional images. Image Vis. Comput. 129: 104590 (2023) - [j79]Shuo Chen, Chen Gong, Xiang Li, Jian Yang, Gang Niu, Masashi Sugiyama:
Boundary-restricted metric learning. Mach. Learn. 112(12): 4723-4762 (2023) - [j78]Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen:
Consistency and Diversity Induced Human Motion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 197-210 (2023) - [j77]Chen Gong, Yongliang Ding, Bo Han, Gang Niu, Jian Yang, Jane You, Dacheng Tao, Masashi Sugiyama:
Class-Wise Denoising for Robust Learning Under Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2835-2848 (2023) - [j76]Tao Zhou, Yi Zhou, Kelei He, Chen Gong, Jian Yang, Huazhu Fu, Dinggang Shen:
Cross-level Feature Aggregation Network for Polyp Segmentation. Pattern Recognit. 140: 109555 (2023) - [j75]Dayong Tian, Chen Gong, Maoguo Gong, Yiwen Wei, Xiaoxuan Feng:
Modeling Cardinality in Image Hashing. IEEE Trans. Cybern. 53(1): 114-123 (2023) - [j74]Wentao Yu, Sheng Wan, Guangyu Li, Jian Yang, Chen Gong:
Hyperspectral Image Classification With Contrastive Graph Convolutional Network. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j73]Chenhong Zhou, Feng Liu, Chen Gong, Rongfei Zeng, Tongliang Liu, Kwok-Wai Cheung, Bo Han:
KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation. Trans. Mach. Learn. Res. 2023 (2023) - [j72]Zhuo Huang, Jian Yang, Chen Gong:
They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning. IEEE Trans. Multim. 25: 1844-1857 (2023) - [j71]Xianye Ben, Chen Gong, Tianhuan Huang, Chuanye Li, Rui Yan, Yujun Li:
Tackling Micro-Expression Data Shortage via Dataset Alignment and Active Learning. IEEE Trans. Multim. 25: 5429-5443 (2023) - [j70]Hengmin Zhang, Feng Qian, Peng Shi, Wenli Du, Yang Tang, Jianjun Qian, Chen Gong, Jian Yang:
Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5342-5353 (2023) - [j69]Yu Yao, Baosheng Yu, Chen Gong, Tongliang Liu:
Understanding How Pretraining Regularizes Deep Learning Algorithms. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5828-5840 (2023) - [c72]Tiansong Jiang, Sheng Wan, Chen Gong:
Class-Imbalanced Semi-Supervised Learning with Inverse Auxiliary Classifier. BMVC 2023: 908-910 - [c71]Zhuo Huang, Miaoxi Zhu, Xiaobo Xia, Li Shen, Jun Yu, Chen Gong, Bo Han, Bo Du, Tongliang Liu:
Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization. CVPR 2023: 16175-16185 - [c70]Xiaobo Xia, Bo Han, Yibing Zhan, Jun Yu, Mingming Gong, Chen Gong, Tongliang Liu:
Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples. ICCV 2023: 1833-1843 - [c69]Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong:
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images. ICCV 2023: 17424-17434 - [c68]Runtong Zhang, Hongyuan Zhu, Hanwang Zhang, Chen Gong, Joey Tianyi Zhou, Fanman Meng:
Semi-Supervised Few-Shot Segmentation with Noisy Support Images. ICIP 2023: 1550-1554 - [c67]Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu:
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style. ICLR 2023 - [c66]Jun Li, Guangyu Li, Haobo Jiang, Weili Guo, Chen Gong:
An Efficient Enhanced-YOLOv5 Algorithm for Multi-scale Ship Detection. ICONIP (6) 2023: 252-263 - [c65]Chaoqun Liu, Xuanpeng Li, Guangyu Li, Chen Gong:
An Efficient Skip Link-based Traffic Prediction Algorithm with Multi-Scale Feature Extraction. MSN 2023: 831-836 - [c64]Zicheng Zhao, Linhao Luo, Shirui Pan, Quoc Viet Hung Nguyen, Chen Gong:
Towards Few-Shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-Guided Neural Process Approach. ECML/PKDD (3) 2023: 515-532 - [c63]Jun Li, Ning Ding, Chen Gong, Zhong Jin, Guangyu Li:
Effective Small Ship Detection with Enhanced-YOLOv7. PRCV (10) 2023: 249-260 - [c62]Yue Yuan, Sheng Wan, Chuang Zhang, Chen Gong:
CASSOR: Class-Aware Sample Selection for Ordinal Regression with Noisy Labels. PRICAI (2) 2023: 117-123 - [i43]Zhuo Huang, Miaoxi Zhu, Xiaobo Xia, Li Shen, Jun Yu, Chen Gong, Bo Han, Bo Du, Tongliang Liu:
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization. CoRR abs/2303.13087 (2023) - [i42]Tao Zhou, Yizhe Zhang, Yi Zhou, Ye Wu, Chen Gong:
Can SAM Segment Polyps? CoRR abs/2304.07583 (2023) - [i41]Zicheng Zhao, Linhao Luo, Shirui Pan, Quoc Viet Hung Nguyen, Chen Gong:
Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach. CoRR abs/2307.01204 (2023) - [i40]Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han:
Exploiting Counter-Examples for Active Learning with Partial labels. CoRR abs/2307.07413 (2023) - [i39]Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong:
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images. CoRR abs/2307.11469 (2023) - [i38]Xiaobo Xia, Pengqian Lu, Chen Gong, Bo Han, Jun Yu, Jun Yu, Tongliang Liu:
Regularly Truncated M-estimators for Learning with Noisy Labels. CoRR abs/2309.00894 (2023) - [i37]Wentao Yu, Shuo Chen, Chen Gong, Gang Niu, Masashi Sugiyama:
Atom-Motif Contrastive Transformer for Molecular Property Prediction. CoRR abs/2310.07351 (2023) - [i36]Zhuo Huang, Muyang Li, Li Shen, Jun Yu, Chen Gong, Bo Han, Tongliang Liu:
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization. CoRR abs/2310.16391 (2023) - [i35]Lei Wang, Yibing Zhan, Leilei Ma, Dapeng Tao, Liang Ding, Chen Gong:
SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification. CoRR abs/2311.15200 (2023) - [i34]Xiaoqi An, Lin Zhao, Chen Gong, Nannan Wang, Di Wang, Jian Yang:
SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation. CoRR abs/2312.10758 (2023) - [i33]Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu:
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation. CoRR abs/2312.16039 (2023) - 2022
- [j68]Chuang Zhang, Li Shen, Jian Yang, Chen Gong:
Towards harnessing feature embedding for robust learning with noisy labels. Mach. Learn. 111(9): 3181-3201 (2022) - [j67]Chen Gong, Jian Yang, Jane You, Masashi Sugiyama:
Centroid Estimation With Guaranteed Efficiency: A General Framework for Weakly Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2841-2855 (2022) - [j66]Chen Gong, Qizhou Wang, Tongliang Liu, Bo Han, Jane You, Jian Yang, Dacheng Tao:
Instance-Dependent Positive and Unlabeled Learning With Labeling Bias Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4163-4177 (2022) - [j65]Sheng Wan, Shirui Pan, Shengwei Zhong, Jie Yang, Jian Yang, Yibing Zhan, Chen Gong:
Multi-level graph learning network for hyperspectral image classification. Pattern Recognit. 129: 108705 (2022) - [j64]Tianhuan Huang, Xianye Ben, Chen Gong, Baochang Zhang, Rui Yan, Qiang Wu:
Enhanced Spatial-Temporal Salience for Cross-View Gait Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6967-6980 (2022) - [j63]Jingchen Ke, Chen Gong, Tongliang Liu, Lin Zhao, Jian Yang, Dacheng Tao:
Laplacian Welsch Regularization for Robust Semisupervised Learning. IEEE Trans. Cybern. 52(1): 164-177 (2022) - [j62]Sheng Wan, Shirui Pan, Ping Zhong, Xiaojun Chang, Jian Yang, Chen Gong:
Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j61]Shengwei Zhong, Tao Zhou, Sheng Wan, Jian Yang, Chen Gong:
Dynamic Spectral-Spatial Poisson Learning for Hyperspectral Image Classification With Extremely Scarce Labels. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j60]Xiaofei Zhou, Kunye Shen, Zhi Liu, Chen Gong, Jiyong Zhang, Chenggang Yan:
Edge-Aware Multiscale Feature Integration Network for Salient Object Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j59]Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang:
Feature Aggregation and Propagation Network for Camouflaged Object Detection. IEEE Trans. Image Process. 31: 7036-7047 (2022) - [j58]Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis:
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2378-2392 (2022) - [c61]Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan:
Unifying Graph Contrastive Learning with Flexible Contextual Scopes. ICDM 2022: 793-802 - [c60]Zhendong Wang, Zhenyuan Chen, Chen Gong:
Class Activation Map Refinement via Semantic Affinity Exploration for Weakly Supervised Object Detection. ICIP 2022: 4168-4172 - [c59]Chaojian Yu, Bo Han, Li Shen, Jun Yu, Chen Gong, Mingming Gong, Tongliang Liu:
Understanding Robust Overfitting of Adversarial Training and Beyond. ICML 2022: 25595-25610 - [c58]Cheng Zhang, Shengwei Zhong, Chen Gong:
Feature Integration-Based Training for Cross-Domain Hyperspectral Image Classification. IGARSS 2022: 3572-3575 - [c57]Shuo Chen, Chen Gong, Jun Li, Jian Yang, Gang Niu, Masashi Sugiyama:
Learning Contrastive Embedding in Low-Dimensional Space. NeurIPS 2022 - [c56]Qizhou Wang, Feng Liu, Yonggang Zhang, Jing Zhang, Chen Gong, Tongliang Liu, Bo Han:
Watermarking for Out-of-distribution Detection. NeurIPS 2022 - [c55]Yongliang Ding, Tao Zhou, Chuang Zhang, Yijing Luo, Juan Tang, Chen Gong:
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation. SDM 2022: 253-261 - [i32]Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen:
Consistency and Diversity induced Human Motion Segmentation. CoRR abs/2202.04861 (2022) - [i31]Yongliang Ding, Tao Zhou, Chuang Zhang, Yijing Luo, Juan Tang, Chen Gong:
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation. CoRR abs/2203.10858 (2022) - [i30]Wentao Yu, Sheng Wan, Guangyu Li, Jian Yang, Chen Gong:
Hyperspectral Image Classification With Contrastive Graph Convolutional Network. CoRR abs/2205.11237 (2022) - [i29]Chaojian Yu, Bo Han, Li Shen, Jun Yu, Chen Gong, Mingming Gong, Tongliang Liu:
Understanding Robust Overfitting of Adversarial Training and Beyond. CoRR abs/2206.08675 (2022) - [i28]Chuang Zhang, Li Shen, Jian Yang, Chen Gong:
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels. CoRR abs/2206.13025 (2022) - [i27]Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu:
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style. CoRR abs/2207.03162 (2022) - [i26]Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan:
Unifying Graph Contrastive Learning with Flexible Contextual Scopes. CoRR abs/2210.08792 (2022) - [i25]Qizhou Wang, Feng Liu, Yonggang Zhang, Jing Zhang, Chen Gong, Tongliang Liu, Bo Han:
Watermarking for Out-of-distribution Detection. CoRR abs/2210.15198 (2022) - [i24]Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang:
Feature Aggregation and Propagation Network for Camouflaged Object Detection. CoRR abs/2212.00990 (2022) - 2021
- [j57]Minnan Luo, Xiaojun Chang, Chen Gong:
Reliable shot identification for complex event detection via visual-semantic embedding. Comput. Vis. Image Underst. 213: 103300 (2021) - [j56]Xiuhua Chen, Chen Gong, Jian Yang:
Cost-sensitive positive and unlabeled learning. Inf. Sci. 558: 229-245 (2021) - [j55]Chen Gong, Hong Shi, Tongliang Liu, Chuang Zhang, Jian Yang, Dacheng Tao:
Loss Decomposition and Centroid Estimation for Positive and Unlabeled Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 918-932 (2021) - [j54]Lin Zhao, Jie Xu, Chen Gong, Jian Yang, Wangmeng Zuo, Xinbo Gao:
Learning to Acquire the Quality of Human Pose Estimation. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1555-1568 (2021) - [j53]Shuo Chen, Jian Yang, Yang Wei, Lei Luo, Gui-Fu Lu, Chen Gong:
δ-Norm-Based Robust Regression With Applications to Image Analysis. IEEE Trans. Cybern. 51(6): 3371-3383 (2021) - [j52]Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang:
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network. IEEE Trans. Geosci. Remote. Sens. 59(1): 597-612 (2021) - [j51]Tongtong Che, Yuanjie Zheng, Yunshuai Yang, Sujuan Hou, Weikuan Jia, Jie Yang, Chen Gong:
SDOF-GAN: Symmetric Dense Optical Flow Estimation With Generative Adversarial Networks. IEEE Trans. Image Process. 30: 6036-6049 (2021) - [j50]Lin Zhao, Nannan Wang, Chen Gong, Jian Yang, Xinbo Gao:
Estimating Human Pose Efficiently by Parallel Pyramid Networks. IEEE Trans. Image Process. 30: 6785-6800 (2021) - [j49]Lei Zhou, Chen Gong, Zhi Liu, Keren Fu:
SAL: Selection and Attention Losses for Weakly Supervised Semantic Segmentation. IEEE Trans. Multim. 23: 1035-1048 (2021) - [c54]Sheng Wan, Shirui Pan, Jian Yang, Chen Gong:
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning. AAAI 2021: 10049-10057 - [c53]Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong:
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model. AAAI 2021: 10183-10191 - [c52]Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han:
Learning with Group Noise. AAAI 2021: 10192-10200 - [c51]Chuang Zhang, Qizhou Wang, Tengfei Liu, Xun Lu, Jin Hong, Bo Han, Chen Gong:
Fraud Detection under Multi-Sourced Extremely Noisy Annotations. CIKM 2021: 2497-2506 - [c50]Xiaobo Xia, Tongliang Liu, Bo Han, Chen Gong, Nannan Wang, Zongyuan Ge, Yi Chang:
Robust early-learning: Hindering the memorization of noisy labels. ICLR 2021 - [c49]Shuo Chen, Gang Niu, Chen Gong, Jun Li, Jian Yang, Masashi Sugiyama:
Large-Margin Contrastive Learning with Distance Polarization Regularizer. ICML 2021: 1673-1683 - [c48]Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan:
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. IJCAI 2021: 1477-1483 - [c47]Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong:
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels. NeurIPS 2021: 6316-6327 - [c46]Qizhou Wang, Feng Liu, Bo Han, Tongliang Liu, Chen Gong, Gang Niu, Mingyuan Zhou, Masashi Sugiyama:
Probabilistic Margins for Instance Reweighting in Adversarial Training. NeurIPS 2021: 23258-23269 - [c45]Zhuo Huang, Chao Xue, Bo Han, Jian Yang, Chen Gong:
Universal Semi-Supervised Learning. NeurIPS 2021: 26714-26725 - [i23]Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong:
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model. CoRR abs/2101.05467 (2021) - [i22]Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis:
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. CoRR abs/2103.00113 (2021) - [i21]Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han:
Learning with Group Noise. CoRR abs/2103.09468 (2021) - [i20]Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan:
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. CoRR abs/2105.05682 (2021) - [i19]Chenhong Zhou, Feng Liu, Chen Gong, Tongliang Liu, Bo Han, William Kwok-Wai Cheung:
KRADA: Known-region-aware Domain Alignment for Open World Semantic Segmentation. CoRR abs/2106.06237 (2021) - [i18]Qizhou Wang, Feng Liu, Bo Han, Tongliang Liu, Chen Gong, Gang Niu, Mingyuan Zhou, Masashi Sugiyama:
Probabilistic Margins for Instance Reweighting in Adversarial Training. CoRR abs/2106.07904 (2021) - [i17]Minnan Luo, Xiaojun Chang, Chen Gong:
Reliable Shot Identification for Complex Event Detection via Visual-Semantic Embedding. CoRR abs/2110.08063 (2021) - 2020
- [j48]Lin Zhao, Jie Xu, Shanshan Zhang, Chen Gong, Jian Yang, Xinbo Gao:
Perceiving heavily occluded human poses by assigning unbiased score. Inf. Sci. 537: 284-301 (2020) - [j47]Xiaofei Zhou, Gongyang Li, Chen Gong, Zhi Liu, Jiyong Zhang:
Attention-guided RGBD saliency detection using appearance information. Image Vis. Comput. 95: 103888 (2020) - [j46]Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li:
Learning Data-adaptive Non-parametric Kernels. J. Mach. Learn. Res. 21: 208:1-208:39 (2020) - [j45]Yao Tang, Lin Zhao, Shanshan Zhang, Chen Gong, Guangyu Li, Jian Yang:
Integrating prediction and reconstruction for anomaly detection. Pattern Recognit. Lett. 129: 123-130 (2020) - [j44]Lei Zhou, Xiangyong Kong, Chen Gong, Fan Zhang, Xiaoguo Zhang:
FC-RCCN: Fully convolutional residual continuous CRF network for semantic segmentation. Pattern Recognit. Lett. 130: 54-63 (2020) - [j43]Di Wang, Yumin Tian, Wenhui Geng, Lin Zhao, Chen Gong:
LPR-Net: Recognizing Chinese license plate in complex environments. Pattern Recognit. Lett. 130: 148-156 (2020) - [j42]Jie Xu, Lin Zhao, Shanshan Zhang, Chen Gong, Jian Yang:
Multi-task learning for object keypoints detection and classification. Pattern Recognit. Lett. 130: 182-188 (2020) - [j41]Xianye Ben, Chen Gong, Peng Zhang, Rui Yan, Qiang Wu, Weixiao Meng:
Coupled Bilinear Discriminant Projection for Cross-View Gait Recognition. IEEE Trans. Circuits Syst. Video Technol. 30(3): 734-747 (2020) - [j40]Chen Gong, Hong Shi, Jie Yang, Jian Yang:
Multi-Manifold Positive and Unlabeled Learning for Visual Analysis. IEEE Trans. Circuits Syst. Video Technol. 30(5): 1396-1409 (2020) - [j39]Tao Zhou, Changqing Zhang, Chen Gong, Harish Bhaskar, Jie Yang:
Multiview Latent Space Learning With Feature Redundancy Minimization. IEEE Trans. Cybern. 50(4): 1655-1668 (2020) - [j38]Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang:
Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(5): 3162-3177 (2020) - [j37]Hengmin Zhang, Jianjun Qian, Bob Zhang, Jian Yang, Chen Gong, Yang Wei:
Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization With Convergence Guarantees. IEEE Trans. Image Process. 29: 3132-3142 (2020) - [j36]Chao Ma, Chen Gong, Xiang Li, Xiaolin Huang, Wei Liu, Jie Yang:
Toward Making Unsupervised Graph Hashing Discriminative. IEEE Trans. Multim. 22(3): 760-774 (2020) - [j35]Weiwei Liu, Xiaobo Shen, Yew-Soon Ong, Ivor W. Tsang, Chen Gong, Vladimir Pavlovic:
Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2236-2239 (2020) - [j34]Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen:
Survey on Multi-Output Learning. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2409-2429 (2020) - [j33]Yang Wei, Chen Gong, Shuo Chen, Tongliang Liu, Jian Yang, Dacheng Tao:
Harnessing Side Information for Classification Under Label Noise. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3178-3192 (2020) - [c44]Yao Yao, Jiehui Deng, Xiuhua Chen, Chen Gong, Jianxin Wu, Jian Yang:
Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification. AAAI 2020: 12669-12676 - [c43]Guangyu Li, Chen Gong, Lin Zhao, Jinsong Wu, Lila Boukhatem:
An Efficient Reinforcement Learning based Charging Data Delivery Scheme in VANET-Enhanced Smart Grid. BigComp 2020: 263-270 - [c42]Tao Zhou, Huazhu Fu, Chen Gong, Jianbing Shen, Ling Shao, Fatih Porikli:
Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation. CVPR 2020: 10274-10283 - [c41]Jiehui Deng, Sheng Wan, Xiang Wang, Enmei Tu, Xiaolin Huang, Jie Yang, Chen Gong:
Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks. ICPR 2020: 9988-9995 - [c40]Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari:
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning. IJCAI 2020: 1926-1932 - [c39]Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang:
Online Positive and Unlabeled Learning. IJCAI 2020: 2248-2254 - [c38]Yijing Luo, Bo Han, Chen Gong:
A Bi-level Formulation for Label Noise Learning with Spectral Cluster Discovery. IJCAI 2020: 2605-2611 - [c37]Yao Tang, Lin Zhao, Zhaoliang Yao, Chen Gong, Jian Yang:
Graph-based motion prediction for abnormal action detection. MMAsia 2020: 63:1-63:7 - [c36]Yao Yao, Chen Gong, Jiehui Deng, Jian Yang:
Network Cooperation with Progressive Disambiguation for Partial Label Learning. ECML/PKDD (2) 2020: 471-488 - [i16]Yao Yao, Chen Gong, Jiehui Deng, Jian Yang:
Network Cooperation with Progressive Disambiguation for Partial Label Learning. CoRR abs/2002.11919 (2020) - [i15]Sheng Wan, Shirui Pan, Jian Yang, Chen Gong:
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning. CoRR abs/2009.07111 (2020) - [i14]Sheng Wan, Chen Gong, Shirui Pan, Jie Yang, Jian Yang:
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification. CoRR abs/2009.09196 (2020) - [i13]Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He:
LID 2020: The Learning from Imperfect Data Challenge Results. CoRR abs/2010.11724 (2020) - [i12]Zhuo Huang, Ying Tai, Chengjie Wang, Jian Yang, Chen Gong:
They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning. CoRR abs/2011.13529 (2020)
2010 – 2019
- 2019
- [j32]Yang Wei, Jian Yang, Chen Gong, Shuo Chen, Jianjun Qian:
Obstacle Detection by Fusing Point Clouds and Monocular Image. Neural Process. Lett. 49(3): 1007-1019 (2019) - [j31]Chen Gong, Dacheng Tao, Xiaojun Chang, Jian Yang:
Ensemble Teaching for Hybrid Label Propagation. IEEE Trans. Cybern. 49(2): 388-402 (2019) - [j30]Hengmin Zhang, Jian Yang, Fanhua Shang, Chen Gong, Zhenyu Zhang:
LRR for Subspace Segmentation via Tractable Schatten- $p$ Norm Minimization and Factorization. IEEE Trans. Cybern. 49(5): 1722-1734 (2019) - [j29]Xianye Ben, Chen Gong, Peng Zhang, Xitong Jia, Qiang Wu, Weixiao Meng:
Coupled Patch Alignment for Matching Cross-View Gaits. IEEE Trans. Image Process. 28(6): 3142-3157 (2019) - [j28]Chen Gong, Jian Yang, Dacheng Tao:
Multi-Modal Curriculum Learning over Graphs. ACM Trans. Intell. Syst. Technol. 10(4): 35:1-35:25 (2019) - [j27]Bi-ke Chen, Chen Gong, Jian Yang:
Importance-Aware Semantic Segmentation for Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 20(1): 137-148 (2019) - [j26]Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Johan A. K. Suykens:
Indefinite Kernel Logistic Regression With Concave-Inexact-Convex Procedure. IEEE Trans. Neural Networks Learn. Syst. 30(3): 765-776 (2019) - [j25]Joey Tianyi Zhou, Meng Fang, Hao Zhang, Chen Gong, Xi Peng, Zhiguo Cao, Rick Siow Mong Goh:
Learning With Annotation of Various Degrees. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2794-2804 (2019) - [j24]Hengmin Zhang, Chen Gong, Jianjun Qian, Bob Zhang, Chunyan Xu, Jian Yang:
Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2916-2925 (2019) - [j23]Chen Gong, Tongliang Liu, Jian Yang, Dacheng Tao:
Large-Margin Label-Calibrated Support Vector Machines for Positive and Unlabeled Learning. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3471-3483 (2019) - [c35]Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li:
Data-Adaptive Metric Learning with Scale Alignment. AAAI 2019: 3347-3354 - [c34]Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang:
Inter-Class Angular Loss for Convolutional Neural Networks. AAAI 2019: 3894-3901 - [c33]Chuang Zhang, Dexin Ren, Tongliang Liu, Jian Yang, Chen Gong:
Positive and Unlabeled Learning with Label Disambiguation. IJCAI 2019: 4250-4256 - [c32]Jingchen Ke, Chen Gong, Lin Zhao:
Laplacian Welsch Regularization for Robust Semi-supervised Dictionary Learning. IScIDE (2) 2019: 40-52 - [c31]Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang:
Curvilinear Distance Metric Learning. NeurIPS 2019: 4225-4234 - [c30]Xiaobo Xia, Tongliang Liu, Nannan Wang, Bo Han, Chen Gong, Gang Niu, Masashi Sugiyama:
Are Anchor Points Really Indispensable in Label-Noise Learning? NeurIPS 2019: 6835-6846 - [c29]Xinran Wei, Dongliang Chang, Jiyang Xie, Yixiao Zheng, Chen Gong, Chuang Zhang, Zhanyu Ma:
FICAL: Focal Inter-Class Angular Loss for Image Classification. VCIP 2019: 1-4 - [i11]Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen:
A Survey on Multi-output Learning. CoRR abs/1901.00248 (2019) - [i10]Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao:
Learning with Inadequate and Incorrect Supervision. CoRR abs/1902.07429 (2019) - [i9]Chen Gong, Tongliang Liu, Yuanyan Tang, Jian Yang, Jie Yang, Dacheng Tao:
A Regularization Approach for Instance-Based Superset Label Learning. CoRR abs/1904.02832 (2019) - [i8]Chen Gong, Dacheng Tao, Xiaojun Chang, Jian Yang:
Ensemble Teaching for Hybrid Label Propagation. CoRR abs/1904.03828 (2019) - [i7]Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, Dacheng Tao:
Robust Visual Tracking Revisited: From Correlation Filter to Template Matching. CoRR abs/1904.06842 (2019) - [i6]Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang:
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. CoRR abs/1905.06133 (2019) - [i5]Xiaobo Xia, Tongliang Liu, Nannan Wang, Bo Han, Chen Gong, Gang Niu, Masashi Sugiyama:
Are Anchor Points Really Indispensable in Label-Noise Learning? CoRR abs/1906.00189 (2019) - [i4]Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang:
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network. CoRR abs/1909.11953 (2019) - 2018
- [j22]Chen Gong, Zechao Li, Xiaojun Chang, Yong Luo:
Learning-Based Multimedia Analyses and Applications. Adv. Multim. 2018: 2705839:1-2705839:2 (2018) - [j21]Chao Ma, Yun Gu, Chen Gong, Jie Yang, Deying Feng:
Unsupervised Video Hashing via Deep Neural Network. Neural Process. Lett. 47(3): 877-890 (2018) - [j20]Tao Zhang, Wenjing Jia, Chen Gong, Jun Sun, Xiaoning Song:
Semi-supervised dictionary learning via local sparse constraints for violence detection. Pattern Recognit. Lett. 107: 98-104 (2018) - [j19]Chao Ma, Chen Gong, Yun Gu, Jie Yang, Deying Feng:
SHISS: Supervised hashing with informative set selection. Pattern Recognit. Lett. 107: 105-113 (2018) - [j18]Junxia Li, Jian Yang, Chen Gong, Qingshan Liu:
Saliency fusion via sparse and double low rank decomposition. Pattern Recognit. Lett. 107: 114-122 (2018) - [j17]Fanghui Liu, Tao Zhou, Chen Gong, Keren Fu, Li Bai, Jie Yang:
Inverse Nonnegative Local Coordinate Factorization for Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 28(8): 1752-1764 (2018) - [j16]Chen Gong, Tongliang Liu, Yuanyan Tang, Jian Yang, Jie Yang, Dacheng Tao:
A Regularization Approach for Instance-Based Superset Label Learning. IEEE Trans. Cybern. 48(3): 967-978 (2018) - [j15]Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, Dacheng Tao:
Robust Visual Tracking Revisited: From Correlation Filter to Template Matching. IEEE Trans. Image Process. 27(6): 2777-2790 (2018) - [j14]Xiaofei Zhou, Zhi Liu, Chen Gong, Wei Liu:
Improving Video Saliency Detection via Localized Estimation and Spatiotemporal Refinement. IEEE Trans. Multim. 20(11): 2993-3007 (2018) - [c28]Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li:
Nonlinear Pairwise Layer and Its Training for Kernel Learning. AAAI 2018: 3659-3666 - [c27]Tao Zhang, Chen Gong, Wenjing Jia, Xiaoning Song, Jun Sun, Xiaojun Wu:
Supervised Image Classification with Self-Paced Regularization. ICDM Workshops 2018: 411-414 - [c26]Xingyu Chen, Chen Gong, Chao Ma, Xiaolin Huang, Jie Yang:
Privileged Semi-Supervised Learning. ICIP 2018: 2999-3003 - [c25]Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li:
Adversarial Metric Learning. IJCAI 2018: 2021-2027 - [c24]Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang:
Teaching Semi-Supervised Classifier via Generalized Distillation. IJCAI 2018: 2156-2162 - [c23]Hong Shi, Shaojun Pan, Jian Yang, Chen Gong:
Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation. IJCAI 2018: 2689-2695 - [c22]Xiaofei Zhou, Zhi Liu, Chen Gong, Gongyang Li, Mengke Huang:
Video Saliency Detection Using Deep Convolutional Neural Networks. PRCV (2) 2018: 308-319 - [i3]Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li:
Adversarial Metric Learning. CoRR abs/1802.03170 (2018) - [i2]Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li:
Learning Data-adaptive Nonparametric Kernels. CoRR abs/1808.10724 (2018) - 2017
- [j13]Fanghui Liu, Chen Gong, Tao Zhou, Keren Fu, Xiangjian He, Jie Yang:
Visual Tracking via Nonnegative Multiple Coding. IEEE Trans. Multim. 19(12): 2680-2691 (2017) - [j12]Chen Gong, Dacheng Tao, Wei Liu, Liu Liu, Jie Yang:
Label Propagation via Teaching-to-Learn and Learning-to-Teach. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1452-1465 (2017) - [c21]Yang Wei, Chen Gong, Shuo Chen:
Harnessing U-disparity in Point Clouds for Obstacle Detection. ACPR 2017: 262-267 - [c20]Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao:
Learning with Inadequate and Incorrect Supervision. ICDM 2017: 889-894 - [c19]Bi-ke Chen, Chen Gong, Jian Yang:
Importance-Aware Semantic Segmentation for Autonomous Driving System. IJCAI 2017: 1504-1510 - [i1]Le Hui, Xiang Li, Jiaxin Chen, Hongliang He, Chen Gong, Jian Yang:
Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders. CoRR abs/1712.02050 (2017) - 2016
- [b1]Chen Gong:
Robust graph transduction. University of Technology Sydney, Australia, 2016 - [j11]Keren Fu, Irene Y. H. Gu, Chen Gong, Jie Yang:
Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction. Neurocomputing 175: 336-347 (2016) - [j10]Chen Gong, Dacheng Tao, Stephen J. Maybank, Wei Liu, Guoliang Kang, Jie Yang:
Multi-Modal Curriculum Learning for Semi-Supervised Image Classification. IEEE Trans. Image Process. 25(7): 3249-3260 (2016) - [c18]Chen Gong, Dacheng Tao, Jie Yang, Wei Liu:
Teaching-to-Learn and Learning-to-Teach for Multi-label Propagation. AAAI 2016: 1610-1616 - [c17]Long Lan, Dacheng Tao, Chen Gong, Naiyang Guan, Zhigang Luo:
Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization. IJCAI 2016: 3396-3402 - 2015
- [j9]Chen Gong, Keren Fu, Lei Zhou, Jie Yang, Xiangjian He:
Scalable Semi-Supervised Classification via Neumann Series. Neural Process. Lett. 42(1): 187-197 (2015) - [j8]Keren Fu, Chen Gong, Irene Yu-Hua Gu, Jie Yang:
Normalized Cut-Based Saliency Detection by Adaptive Multi-Level Region Merging. IEEE Trans. Image Process. 24(12): 5671-5683 (2015) - [j7]Chen Gong, Dacheng Tao, Keren Fu, Jie Yang:
Fick's Law Assisted Propagation for Semisupervised Learning. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2148-2162 (2015) - [j6]Chen Gong, Tongliang Liu, Dacheng Tao, Keren Fu, Enmei Tu, Jie Yang:
Deformed Graph Laplacian for Semisupervised Learning. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2261-2274 (2015) - [c16]Chen Gong, Dacheng Tao, Wei Liu, Stephen J. Maybank, Meng Fang, Keren Fu, Jie Yang:
Saliency propagation from simple to difficult. CVPR 2015: 2531-2539 - [c15]Wei Xu, Yijun Li, Chen Gong, Jie Yang:
Multi-view implicit transfer for person re-identification. ICASSP 2015: 1151-1155 - [c14]Keren Fu, Chen Gong, Irene Y. H. Gu, Jie Yang, Pengfei Shi:
Salient object detection using normalized cut and geodesics. ICIP 2015: 1100-1104 - 2014
- [j5]Chen Gong, Keren Fu, Qiang Wu, Enmei Tu, Jie Yang:
Semi-supervised classification with pairwise constraints. Neurocomputing 139: 130-137 (2014) - [j4]Chen Gong, Keren Fu, Artur Loza, Qiang Wu, Jia Liu, Jie Yang:
PageRank Tracker: From Ranking to Tracking. IEEE Trans. Cybern. 44(6): 882-893 (2014) - [c13]Chen Gong, Dacheng Tao, Keren Fu, Jie Yang:
ReLISH: Reliable Label Inference via Smoothness Hypothesis. AAAI 2014: 1840-1846 - [c12]Chen Gong, Dacheng Tao, Jie Yang, Keren Fu:
Signed Laplacian Embedding for Supervised Dimension Reduction. AAAI 2014: 1847-1853 - [c11]Keren Fu, Chen Gong, Yixiao Yun, Yijun Li, Irene Yu-Hua Gu, Jie Yang, Jingyi Yu:
Adaptive Multi-Level Region Merging for Salient Object Detection. BMVC 2014 - [c10]Long Xu, Chen Gong, Jie Yang, Qiang Wu, Lixiu Yao:
Violent video detection based on MoSIFT feature and sparse coding. ICASSP 2014: 3538-3542 - [c9]Keren Fu, Kai Xie, Chen Gong, Irene Y. H. Gu, Jie Yang:
Effective small DIM target detection by local connectedness constraint. ICASSP 2014: 8110-8114 - [c8]Zhongjie Yu, Chen Gong, Jie Yang, Li Bai:
Pedestrian counting based on spatial and temporal analysis. ICIP 2014: 2432-2436 - [c7]Keren Fu, Chen Gong, Irene Y. H. Gu, Jie Yang, Xiangjian He:
Spectral salient object detection. ICME 2014: 1-6 - [c6]Keren Fu, Irene Y. H. Gu, Yixiao Yun, Chen Gong, Jie Yang:
Graph Construction for Salient Object Detection in Videos. ICPR 2014: 2371-2376 - 2013
- [j3]Chen Gong, Keren Fu, Enmei Tu, Jie Yang, Xiangjian He:
Robust object tracking using linear neighborhood propagation. J. Electronic Imaging 22(1): 013015 (2013) - [j2]Keren Fu, Chen Gong, Yu Qiao, Jie Yang, Irene Yu-Hua Gu:
One-class support vector machine-assisted robust tracking. J. Electronic Imaging 22(2): 023002 (2013) - [j1]Keren Fu, Chen Gong, Jie Yang, Yue Zhou, Irene Yu-Hua Gu:
Superpixel based color contrast and color distribution driven salient object detection. Signal Process. Image Commun. 28(10): 1448-1463 (2013) - [c5]Keren Fu, Chen Gong, Irene Y. H. Gu, Jie Yang:
Geodesic saliency propagation for image salient region detection. ICIP 2013: 3278-3282 - [c4]Lei Zhou, Chen Gong, Yijun Li, Yu Qiao, Jie Yang, Nikola K. Kasabov:
Salient Object Segmentation Based on Automatic Labeling. ICONIP (3) 2013: 584-591 - 2012
- [c3]Keren Fu, Chen Gong, Jie Yang, Yue Zhou:
Salient Object Detection via Color Contrast and Color Distribution. ACCV (1) 2012: 111-122 - [c2]Keren Fu, Chen Gong, Yu Qiao, Jie Yang, Irene Guy:
One-Class SVM assisted accurate tracking. ICDSC 2012: 1-6 - [c1]Chen Gong, Yang Liu, Tianyu Li, Jie Yang, Xiangjian He:
The Extended Co-learning Framework for Robust Object Tracking. ICME 2012: 398-403
Coauthor Index
[j93] [j83] [j82] [j81] [c79] [c73] [i47] [j79] [j77] [j76] [j74] [j72] [j70] [i34] [j68] [j67] [j66] [j65] [j63] [j62] [j61] [j59] [c57] [i30] [i28] [i24] [j56] [j55] [j54] [j53] [j52] [j50] [c54] [c53] [c49] [c45] [i23] [j48] [j45] [j42] [j40] [j38] [j37] [j33] [c44] [c39] [c37] [c36] [i16] [i15] [i14] [i12] [j32] [j31] [j30] [j28] [j27] [j24] [j23] [c35] [c34] [c33] [c31] [i10] [i9] [i8] [i6] [i4] [j18] [j16] [c25] [c24] [c23] [i3] [c20] [c19] [i1]
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last updated on 2025-04-14 21:13 CEST by the dblp team
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